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42 lines
1.9 KiB
Markdown
42 lines
1.9 KiB
Markdown
---
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layout: default
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title: "SmolaAgents"
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nav_order: 19
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has_children: true
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---
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# Tutorial: SmolaAgents
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> This tutorial is AI-generated! To learn more: https://github.com/The-Pocket/Tutorial-Codebase-Knowledge
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`SmolaAgents` is a project for building *autonomous agents* that can solve complex tasks.
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The core component is the **MultiStepAgent**, which acts like a project manager. It uses a **Model Interface** to talk to language models (LLMs), employs **Tools** (like web search or code execution) to interact with the world or perform actions, and keeps track of its progress and conversation history using **AgentMemory**.
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For agents that write and run Python code (`CodeAgent`), a **PythonExecutor** provides a safe environment. **PromptTemplates** help structure the instructions given to the LLM, while **AgentType** handles different data formats like images or audio. Finally, **AgentLogger & Monitor** provides logging and tracking for debugging and analysis.
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**Source Repository:** [https://github.com/huggingface/smolagents/tree/076cca5e8a130d3fa2ff990ad630231b49767745/src/smolagents](https://github.com/huggingface/smolagents/tree/076cca5e8a130d3fa2ff990ad630231b49767745/src/smolagents)
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```mermaid
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flowchart TD
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A0["MultiStepAgent"]
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A1["Tool"]
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A2["Model Interface"]
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A3["AgentMemory"]
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A4["PythonExecutor"]
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A5["PromptTemplates"]
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A6["AgentType"]
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A7["AgentLogger & Monitor"]
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A0 -- "Uses tools" --> A1
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A0 -- "Uses model" --> A2
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A0 -- "Uses memory" --> A3
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A0 -- "Uses templates" --> A5
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A0 -- "Uses logger/monitor" --> A7
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A0 -- "Uses executor (CodeAgent)" --> A4
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A1 -- "Outputs agent types" --> A6
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A4 -- "Executes tool code" --> A1
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A2 -- "Generates/Parses tool calls" --> A1
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A3 -- "Logs tool calls" --> A1
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A5 -- "Includes tool info" --> A1
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A6 -- "Handled by agent" --> A0
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A7 -- "Replays memory" --> A3
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``` |